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We are now hiring our first Prompt Engineer to join the Product team and lead the development of GenAI-powered experiences. Youll work across multiple product lines to design and implement production-grade prompt architectures, embed AI agents into the user journey, and scale experimentation with cutting-edge LLM tools.

Product Team Member Prompt Engineer

This role blends hands-on AI development with product integration strategy. Youll collaborate with product managers and engineers to design, evaluate, and iterate on generative AI solutions including multi-step prompt chains, agent workflows, and LLM selection frameworks. Your work will shape how personalization evolves across the Dynamic Yield platform.

All About the Role

Design and refine prompt architectures (e.g., few-shot, chain-of-thought, tool use) that drive our LLM-powered features

Select and evaluate models, frameworks, and orchestration tools (e.g., OpenAI, Claude, LangChain, RAG)

Collaborate with engineers to implement scalable agent-based workflows and integrate GenAI into the product

Partner with Product Managers to define user-facing use cases and influence product direction with AI capabilities

Develop internal tooling and evaluation frameworks to test prompt quality, model behavior, and UX alignment

Act as a thought leader on prompt best practices, model safety, and responsible AI design across product squads

We are looking for a highly skilled Senior DevOps Engineer to join our expanding DevOps Platform team.

The role involves overseeing and monitoring our Production environment, ensuring reliability and scalability while always introducing new and innovative solutions using the latest cutting-edge technologies.

All workloads are K8s-based deployments running on spot instances, in a multi-cloud arena, with AWS as our core cloud provider. Our unique architecture is fully stateless, utilizing cloud native S3 as elastic storage volume but also uses it as our data lake - later analyzed by Aiflow (Data Transformation) and Clickhouse (high-speed query tool).

This simple, yet innovative design, allows for frequent developing iterations with minimum interruption to our day to day work - enabling constant optimization efforts!

Responsibilities
Proactively optimizing and enhancing Finout delivery and live production environments.
Enabling R&D by standardizing processes and providing self-serving tools that allow safe and prompt execution
Providing efficient visibility standards for better decision-making across all teams
Enforcing Security and Compliance on a day-to-day basis
Continuously challenging existing technological stack and processes by proactively introducing and developing new tools

We are now hiring our first Prompt Engineer to join the Product team and lead the development of GenAI-powered experiences. Youll work across multiple product lines to design and implement production-grade prompt architectures, embed AI agents into the user journey, and scale experimentation with cutting-edge LLM tools.

Product Team Member Prompt Engineer

This role blends hands-on AI development with product integration strategy. Youll collaborate with product managers and engineers to design, evaluate, and iterate on generative AI solutions including multi-step prompt chains, agent workflows, and LLM selection frameworks. Your work will shape how personalization evolves across the platform.

All About the Role

Design and refine prompt architectures (e.g., few-shot, chain-of-thought, tool use) that drive our LLM-powered features

Select and evaluate models, frameworks, and orchestration tools (e.g., OpenAI, Claude, LangChain, RAG)

Collaborate with engineers to implement scalable agent-based workflows and integrate GenAI into the product

Partner with Product Managers to define user-facing use cases and influence product direction with AI capabilities

Develop internal tooling and evaluation frameworks to test prompt quality, model behavior, and UX alignment

Act as a thought leader on prompt best practices, model safety, and responsible AI design across product squads

As an AI Data Science Team Lead, you will lead the Clinical AI domain in the Data & AI group. You will be responsible for building, deploying, and evolving clinical prediction models and LLM based agents that power our AI-first user experiences - starting with our conversational health assistant and expanding into risk prediction and disease management.
You will lead a cross functional team of data professionals and work closely with Product, R&D, and Data Platform teams to bring data-driven ML/AI solutions to life.
Responsibilities:
Lead a team of data scientists & analysts
Work closely with the engineering team on delivering AI agents to our product - collaborate on design, testing, deployment, monitoring and iterative improvements
Establish best practices for agent observability & evaluation
Partner with Product Managers to translate user journeys into intelligent conversational flows
Define how real-time data from the app, wearables & clinical events is injected into agent memory
Implement other novel algorithms and investigate new technologies to improve the clinical impact of our product and actually save lives!!

We are seeking a passionate Generative AI Evangelist to join our Engineering team and work directly with our development teams to accelerate the adoption of GenAI tools and establish best practices. Reporting to the VP R&D you will be embedded within our development organization to drive hands-on implementation, create effective workflows, and empower developers to leverage cutting-edge AI capabilities in their daily work.
What youll do:
Direct Developer Support & Enablement
Work side-by-side with development teams to implement and optimize GenAI tools in real-world projects
Provide hands-on guidance for integrating AI coding assistants, code generation tools, and automation workflows
Troubleshoot implementation challenges and help teams overcome adoption barriers
Tool Implementation & Workflow Design
Evaluate and pilot new GenAI development tools across different technology stacks
Design and document standardized workflows for common development tasks using AI assistance
Create custom integrations and configurations tailored to our specific development environment
Process Development & Optimization
Establish GenAI coding standards, guidelines, and quality assurance processes
Design efficient workflows that maximize developer productivity while maintaining code quality
Develop feedback mechanisms to improve AI-assisted development practices continuously
Training & Knowledge Transfer
Conduct hands-on workshops and training sessions on GenAI tools and techniques
Create practical tutorials, code examples, and documentation for immediate developer use
Mentor development teams on advanced prompt engineering and AI-assisted coding strategies
Innovation & Experimentation
Stay current with emerging GenAI tools and evaluate their potential impact on development workflows
Run proof-of-concept projects to test new AI capabilities and use cases
Share insights and learnings with the broader engineering organization.